A Rehabilitation Training System for Hand-function Exoskeletons Based on the Cloud Platform

The rehabilitation effect was quantitatively evaluated and fed back in time in the rehabilitation training for stroke patients with limb movement disorders. The rehabilitation training system for hand-function exoskeletons based on the cloud platform promoted the efficient allocation of medical resources by breaking the Spatio-temporal limitations to a large extent. Hand-function rehabilitation training was integrated into games by combining the new somatosensory device LeapMotion with the Unity3D game engine. The rehabilitation training of patients distributed in different regions was tracked by the cloud platform technology based on the SSM and Shiro framework through the Internet. It provided timely feedback on the evaluation of the rehabilitation effect based on quantitative data. This system is of great significance in improving the rehabilitation training quality of hand-function patients, promoting the early recovery of patients, and reducing the burden on the family and society.